Computational and network modeling of neuroimaging data /
Provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. As neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired, this book gives an accessible foundation to the fi...
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| Format: | eBook |
| Language: | English |
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London, United Kingdom : San Diego, CA :
Academic Press,
[2024]
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| Series: | Neuroimaging methods and applications series.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Statistical modeling: Harnessing uncertainty and variation in neuroimaging data / Martin A. Lindquist
- Sensory modeling: understanding computation in sensory systems through image-computable models / Zvi N. Roth, Elisha P. Merriam, Tomas Knapen
- Cognitive modeling: Joint models use cognitive theory to understand brain activations / Brandon M. Turner
- Network modeling: the explanatory power of activity flow models of brain function / Michael W. Cole
- Biophysical modeling: an approach for understanding the physiological fingerprint of the BOLD fMRI signal / Mario Gilberto Báez-Yáñez, Natalia Petridou
- Biophysical modeling: multicompartment biophysical models for brain tissue microstructure imaging / H. Farooq, P.K. Pisharady, C. Lenglet
- Dynamic brain network models: how interactions in the structural connectome shape brain dynamics / Joana Cabral, John D. Griffiths
- Neural graph modeling / Stephen José Hanson, Catherine Hanson
- Machine learning and neuroimaging: understanding the human brain in health and disease / Zijin Gu, Keith W. Jamison, Amy Kuceyeski
- Decoding models: from brain representation to machine interfaces / Yu Takagi, Shinji Nishimoto
- Normative modeling for clinical neuroscience / Andre Marquand, Saige Rutherford, Thomas Wolfers.